Efficient Closed Loop Simulation of Do-It-Yourself Artificial Pancreas Systems
| Autor: | Ronald Blechschmidt, Adrian Tappe, Heiko Peuscher, Carolin Strobel, Jana Schmitzer |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Blood Glucose
Pancreas Artificial Computer science type 1 diabetes Endocrinology Diabetes and Metabolism In silico Biomedical Engineering Closed loop simulation 030209 endocrinology & metabolism Bioengineering Artificial pancreas 03 medical and health sciences 0302 clinical medicine Insulin Infusion Systems Control theory Internal Medicine Humans Hypoglycemic Agents Insulin Computer Simulation 030212 general & internal medicine hybrid closed-loop Guest Editors: Ali Cinar Charlotte Boughton Peter Jacobs and Josep Vehi artificial pancreas Diabetes Mellitus Type 1 glycemic control in silico trial Special Section: The Artificial Pancreas: Predictive Algorithm Strategies AndroidAPS Algorithms |
| Zdroj: | Journal of Diabetes Science and Technology |
| ISSN: | 1932-2968 |
| Popis: | Background: Numerical simulations, also referred to as in silico trials, are nowadays the first step toward approval of new artificial pancreas (AP) systems. One suitable tool to run such simulations is the UVA/Padova Type 1 Diabetes Metabolic Simulator (T1DMS). It was used by Toffanin et al. to provide data about safety and efficacy of AndroidAPS, one of the most wide-spread do-it-yourself AP systems. However, the setup suffered from slow simulation speed. The objective of this work is to speed up simulation by implementing the algorithm directly in MATLAB®/Simulink®. Method: Firstly, AndroidAPS is re-implemented in MATLAB® and verified. Then, the function is incorporated into T1DMS. To evaluate the new setup, a scenario covering 2 days in real time is run for 30 virtual patients. The results are compared to those presented in the literature. Results: Unit tests and integration tests proved the equivalence of the new implementation and the original AndroidAPS code. Simulation of the scenario required approximately 15 minutes, corresponding to a speed-up factor of roughly 1000 with respect to real time. The results closely resemble those presented by Toffanin et al. Discrepancies were to be expected because a different virtual population was considered. Also, some parameters could not be extracted from and harmonized with the original setup. Conclusions: The new implementation facilitates extensive in silico trials of AndroidAPS due to the significant reduction of runtime. This provides a cheap and fast means to test new versions of the algorithm before they are shared with the community. |
| Databáze: | OpenAIRE |
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